Triple
T17746495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deborah Ann Woll |
E443002
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Catch .44 |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Catch .44 | Statement: [Deborah Ann Woll, appearedIn, Catch .44]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Catch .44 Context triple: [Deborah Ann Woll, appearedIn, Catch .44]
-
A.
Catch .44
chosen
Catch .44 is a 2011 neo-noir crime thriller film featuring Nikki Reed alongside Bruce Willis, Forest Whitaker, and Malin Åkerman in a tense, intersecting-plot shootout story.
-
B.
Buckshot
Buckshot is an American rapper best known as the frontman of the influential hip-hop group Black Moon and co-founder of the Boot Camp Clik collective.
-
C.
Shotgun
"Shotgun" is a 1955 American Western film starring Sterling Hayden as a lawman pursuing outlaws across rugged frontier territory.
-
D.
The Gun
"The Gun" is a 1974 American made-for-television crime drama film directed by John Badham and starring Lee Grant.
-
E.
The Gun
"The Gun" is a 1933 war novel by C. S. Forester that follows a massive Spanish cannon and the disparate fighters who use it against Napoleon’s forces during the Peninsular War.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47ad26940819090696c2cb86fd606 |
completed | April 19, 2026, 6:48 a.m. |
Created at: April 10, 2026, 10:09 a.m.